Principal Data Innovation Leader

2 weeks ago


Bharatpur, Rajasthan, India beBeeDataStrategist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

As a seasoned data strategist at a leading organization, you will play a pivotal role in driving digital transformation by leveraging advanced analytics and machine learning to enable informed decision-making and personalized customer experiences.

Key Responsibilities
  • Model Development
    • Design, build, and deploy predictive models for segmentation, predictive analytics, prospect identification, targeting, personalization, churn prediction & retention, campaign performance, and other business use cases.
    • Contribute to building models for various use cases such as revenue growth initiatives, customer lifecycle management, etc.
    • Apply statistical analysis and data visualization techniques to generate actionable insights and communicate effectively to stakeholders.
    • Translate model findings into strategic recommendations that enhance ROI and customer satisfaction.
    • Collaborate with cross-functional teams including marketing, digital, and commercial teams to operationalize models into platforms and workflows.
    • Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.
  • Deep QA Model Validation
    • Validate existing models applying end-to-end QA checks before deployment.
    • Assess data ingestion, schema integrity, feature engineering, and label quality for business alignment.
    • Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration.
    • Document all findings, anomalies, and improvement opportunities.
    • Support development of dashboards and reports to track validation progress, outcomes, and risks.
    • Ensure every module is accurate, reliable, and business-aligned prior to launch.
Why Join Our Organization?
  • Work on modern data architecture at scale using cutting-edge technologies.
  • Collaborate with a dynamic and talented team of data professionals.
  • Grow your leadership skills through hands-on project ownership and mentorship.
  • Competitive compensation, flexible work options, and continuous learning culture.


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